Business Intelligence Commons^™

Aspect-Based Sentiment Analysis Of Movie Reviews, Samuel Onalaja, Eric Romero, Bosang Yun

SMU Data Science Review

This study investigates a comparison of classification models used to determine aspect based separated text sentiment and predict binary sentiments of movie reviews with genre and aspect specific driving factors. To gain a broader classification analysis, five machine and deep learning algorithms were compared: Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), and Recurrent Neural Network Long-Short-Term Memory (RNN LSTM). The various movie aspects that are utilized to separate the sentences are determined through aggregating aspect words from lexicon-base, supervised and unsupervised learning. The driving factors are randomly assigned to various movie aspects and their impact tied to …

Librarians Don’T Use Google!: Breaking Stereotypes And Myths About Smart Searching, Nora B. Wood, Dhy Edwardsberry

Urban Library Journal

Students often assume that librarians sit with their noses stuck in dusty volumes all day. These same students are typically surprised to learn that many librarians actually work extensively with online resources and are adept at navigating websites and databases to uncover the best information. What comes as even more of a surprise? Learning that librarians rely heavily on Google to conduct thorough and credible research.

In this article, the authors will discuss how they helped break this librarian stereotype and turned the tables on preconceived notions of how to conduct smart research using Google for a group of undergraduate …

Prediction Of Iraqi Stock Exchange Using Optimized Based-Neural Network, Ameer Al-Haq Al-Shamery, Prof. Dr. Eman Salih Al-Shamery

Karbala International Journal of Modern Science

Stock market prediction is an interesting financial topic that has attracted the attention of researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock-Exchange (ISX) using a developed method of feedforward Neural-Networks based on the Quasi-Newton optimization approach. The proposed method reduces the error factor depending on the Jacobian vector and Lagrange multiplier. This improvement has led to accelerating convergence during the learning process. A sample of companies listed on ISX was selected. This includes twenty-six banks for the years from 2010 to 2020. To evaluate the proposed model, the research findings are compared with …

Machine Learning Models Predicting The Prices Of Houses In Boston, Sheikh-Sedat Touray

Senior Honors Projects

No abstract provided.

Human Resource Information Systems: Implementing Data Analytics Techniques In Human Resource Functions, Prachi Tembhekar

Electronic Theses, Projects, and Dissertations

This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how …

Integration Of Blockchain Technology Into Automobiles To Prevent And Study The Causes Of Accidents, John Kim

Electronic Theses, Projects, and Dissertations

Automobile collisions occur daily. We now live in an information-driven world, one where technology is quickly evolving. Blockchain technology can change the automotive industry, the safety of the motoring public and its surrounding environment by incorporating this vast array of information. It can place safety and efficiency at the forefront to pedestrians, public establishments, and provide public agencies with pertinent information securely and efficiently. Other industries where Blockchain technology has been effective in are as follows: supply chain management, logistics, and banking. This paper reviews some statistical information regarding automobile collisions, Blockchain technology, Smart Contracts, Smart Cities; assesses the feasibility …

Integration Of Internet Of Things And Health Recommender Systems, Moonkyung Yang

Electronic Theses, Projects, and Dissertations

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch …

Enhancing Academic Advising In Credit Hours System Using Dss, Alaa Salah Eldin Ghoneim

Future Computing and Informatics Journal

Academic advising plays a vital role in achieving higher educational institution’s purposes. Academic advising is a process where an academic advisor decides to select a certain number of courses for a student to register in each semester to fulfil the graduation requirements. This paper presents an Academic Advising Decision Support System (AADSS) to enhance advisors make better decisions regarding their students’ cases. AADSS framework divided into four layers, data preparation layer, data layer, processing layer and decision layer. The testing results from those participating academic advisors and students considered are that AADSS beneficial in enhancing their decision for selecting courses.

The Maritime Domain Awareness Center– A Human-Centered Design Approach, Gary Gomez

Political Science & Geography Faculty Publications

This paper contends that Maritime Domain Awareness Center (MDAC) design should be a holistic approach integrating established knowledge about human factors, decision making, cognitive tasks, complexity science, and human information interaction. The design effort should not be primarily a technology effort that focuses on computer screens, information feeds, display technologies, or user interfaces. The existence of a room with access to vast amounts of information and wall-to-wall video screens of ships, aircraft, weather data, and other regional information does not necessarily correlate to possessing situation awareness. Fundamental principles of human-centered information design should guide MDAC design and technology selection, and …

Simulation-Based Scenario Mapping Model To Investigate Post-Brexit Implications On The Irish Beef Export Sector: A Case Study, Amr Mahfouz, Rishi Choudhary

Conference papers

Purpose Brexit introduced a range of new tariffs and non-tariff barriers that will significantly disrupt Irish beef exports, particularly to the UK market. Firms should be able to accurately anticipate the adverse effects of Brexit trade barriers on the flow of their products and change their practices accordingly. This research introduces a scenario planning solution based on a process simulation technology to investigate the implication of Brexit risks on Irish beef export performance. Scenarios implications on the transportation time and shelf-life of Irish meat exports to the UK market are investigated.

Research Approach An agent-based and discrete event simulation model …

Organizational Decision-Making In The Age Of Big Data And Artificial Intelligence, Anh Luong

Dissertations, Theses, and Capstone Projects

This dissertation examines organizational decision-making in the context of big data and artificial intelligence (machine learning) technologies. There are three studies. All three focus on collaborative decision-making in organizations, with study 1 examining it in the context of big data, while study 2 and 3 in the context of artificial intelligence.

Study 1: This study examines the impact of different manners of presenting information on collaborative decision-making performance. Using controlled economic experiments, I assign participants with a resource allocation decision-making task (adapted from the game theoretic public goods provision problem) and examine the collaborative outcomes of groups when exposed to …

Personal Data Privacy And Protective Federal Legislation: An Exploration Of Constituent Position On The Need For Legislation To Control Data Reliant Organizations Collecting And Monetizing Internet-Obtained Personal Data, Giovanni De Meo

Dissertations

In the past twenty years, the business of online personal data collection has grown at the same rapid pace as the internet itself, fostering a multibillion-dollar personal data collection and commercialization industry. Unlike many other large industries, there has been no major federal legislation enacted to monitor or control the activities of organizations dealing in this flourishing industry. The combination of these factors together with the lack of prior research encouraged this research designed to understand how much voters know about this topic and whether there is interest in seeing legislation enacted to protect individual personal data privacy.

To address …

Artificial Intelligence In Retailing, Ibrahim Kircova, Munise Hayrun Saglam, Sirin Gizem Kose

University of South Florida (USF) M3 Publishing

Advances in Artificial Intelligence and Machine Learning technologies have brought a completely new level of data processing that provides deeper business insights. Purchasing advice, dynamic pricing, personal content and advice have become widely used in the retail industry thanks to artificial intelligence. Almost real-time results can be achieved by expanding the scope of data obtained from existing customers and algorithms that mimic human-like behavior. In addition, interactions with machines are more widely accepted than before, allowing consumers to accept innovations faster and thus increase brand loyalty. On the other hand, the success of artificial intelligence, which will change the future …

Advances In Global Services And Retail Management: Volume 2, Cihan Cobanoglu, Valentina Della Corte

University of South Florida (USF) M3 Publishing

This is the second volume of the Advances in Global Services and Retail Management Book Series. This volume has the following parts:

• Part 1: Hospitality and Tourism
• Part 2: Marketing, E-marketing, and Consumer Behavior
• Part 3: Management
• Part 4: Human Resources Management
• Part 5: Retail Management
• Part 6: Economics
• Part 7: Accounting and Finance
• Part 8: Sustainability and Environmental Issues
• Part 9: Information Technology

ISBN: 978-1-955833-03-5

Hospitality and Tourism

• Significance of VR in the spa: A spatial analysis
  • Irini Lai Fun Tang, Schultz Zhi Bin Xu, and Eric Chan
• Social media marketing in rural hospitality and tourism destination research
  • Samuel …

Rise Of Facebook, Amazon, Apple, Netflix, Google During Covid-19 Pandemic, Shivraj Pisal

Electronic Theses, Projects, and Dissertations

FAANG is an acronym for Facebook, Apple, Amazon, Netflix, and Alphabet (which was previously known as Google), the five most important technology giants in the United States. The technology breakthroughs of these companies have had a significant impact on global economies, since they create jobs, link people, supply goods, and generate entertainment. As a result, a detailed analysis of FAANG stocks adds to the existing body of knowledge. Furthermore, because stock markets are very volatile and are influenced by a variety of known and unknown causes, it is vital to employ adequate tools for assessing their behavior (Jadhav et al., …

Impact On Revenue Generation Of Olist Ecommerce Company On The Basis Of Various Product Parameters, Trupti Sanjay Niwate

Electronic Theses, Projects, and Dissertations

E-commerce business is the most trending business in the entire world. Due to the COVID-19 pandemic, the global market of e-commerce is much more active than the traditional in-store market. Over the period, people used the internet more, which has incentivized them to shop online because it saves time and effort.

Specifically, in Latin America, the E-Commerce business is expanding at a tremendous rate. In particular, Brazil is a major business hub when we consider an e-commerce business since it has given a major impact on the world‘s total e-commerce business. Olist, the main e-commerce company which helps other marketers …

Contingency Planning Amidst A Pandemic, Natalie C. Belford

Journal of Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and business continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the novel coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the coronavirus pandemic will be determined and evaluated in detail.

Review Of Data Mining Techniques For Detecting Churners In The Telecommunication Industry, Mahmoud Ewieda, Mohamed Ismail Roushdy, Essam Shaaban

Future Computing and Informatics Journal

The telecommunication sector has been developed rapidly and with large amounts of data obtained as a result of increasing in the number of subscribers, modern techniques, data-based applications, and services. As well as better awareness of customer requirements and excellent quality that meets their satisfaction. This satisfaction raises rivalry between firms to maintain the quality of their services and upgrade them. These data can be helpfully extracted for analysis and used for predicting churners. Researchers around the world have conducted important research to understand the uses of Data mining (DM) that can be used to predict customers' churn. This …

Undoing Performance In Micro Finance Institutions: Reflections On Regulatory Framework In Kenya, Victor Mwendwa Muithya, Stephen Muathe Phd, Godfrey Kinyua Phd

The Journal of Entrepreneurial Finance

The performance of Micro Finance Institutions (MFIs) has been affected negatively by the current hypercompetitive economic environment which has been characterised by as unfair competition. Huge losses have been reported among MFIs in Kenya, this has forced MFIs to innovate differently; product, financial, organisational or market innovation. This has not yielded better results. The study sought to establish the moderating effect of the regulatory framework on the relationship between strategic innovation orientation and performance of MFIs using the case of Kenya. The indicators for the regulatory framework were; prudential guidelines, non-prudential guidelines, and government laws. A descriptive and explanatory research …

College Of Business Dean's Report: 2020-2021, Ryan Butt

College of Business Dean’s Reports

No abstract provided.